backprop.models.hf_nli_model¶
backprop.models.hf_nli_model.model¶
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class
HFNLIModel
(model_path=None, tokenizer_path=None, name: Optional[str] = None, description: Optional[str] = None, tasks: Optional[List[str]] = None, details: Optional[Dict] = None, model_class=<class 'transformers.models.auto.modeling_auto.AutoModelForSequenceClassification'>, tokenizer_class=<class 'transformers.models.auto.tokenization_auto.AutoTokenizer'>, device=None)[source]¶ Bases:
backprop.models.generic_models.HFModel
Class for Hugging Face sequence classification models trained on a NLI dataset
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model_path
¶ path to HF model
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tokenizer_path
¶ path to HF tokenizer
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name
¶ string identifier for the model. Lowercase letters and numbers. No spaces/special characters except dashes.
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description
¶ String description of the model.
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tasks
¶ List of supported task strings
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details
¶ Dictionary of additional details about the model
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model_class
¶ Class used to initialise model
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tokenizer_class
¶ Class used to initialise tokenizer
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device
¶ Device for model. Defaults to “cuda” if available.
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__call__
(task_input, task='text-classification')[source]¶ Uses the model for the text-classification task
- Parameters
task_input – input dictionary according to the
text-classification
task specification. Needs labels (for zero-shot).task – text-classification
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training
: bool¶
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